NDLI: Multiple input multiple output radar imaging based on multidimensional linear equations and sparse signal recovery

Content Provider	IET Digital Library
Author	Ma, Changzheng Yeo, Tat Soon Ng, Boon Poh
Abstract	Multiple input multiple output (MIMO) radar forms large virtual aperture and improves the cross-range resolution of radar imaging. Sparse signal recovery algorithms can be used to improve image quality of target with sparse property in spatial domain. Conventional sparse signal recovery-based MIMO radar imaging method rearranges the received two-dimensional (2D) or 3D signals into a vector, then linear equations describing the relation between the received signal and the reflectivity of the scatterers are solved. However, this method occupies huge memory spaces and increases the computational load. In this study, by introducing synthetic codes, multidimensional linear equations of MIMO radar imaging are derived, which occupy less memory spaces and cost less computationally. A L1 L0 norms homotopy sparse signal recovery algorithm for multidimensional linear equations is used to recover the image. Simulation results verify the high efficiency of using multidimensional linear equations.
Starting Page	3
Ending Page	10
Page Count	8
ISSN	17518784
Volume Number	12
e-ISSN	17518792
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/12/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2017.0149
Journal	IET Radar, Sonar & Navigation
Publisher Date	2017-08-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cross-range Resolution L1 L0 Norms Homotopy Sparse Signal Recovery Algorithm MIMO Radar MIMO Radar Imaging Multidimensional Linear Equation Multiple Input Multiple Output Radar Imaging Radar Equipment Radar Imaging Radar Resolution Signal Processing And Detection Sparse Signal Recovery Algorithm System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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